(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
The 2026 FIFA World Cup will bring soccer fans from around the world to the streets of Atlanta as eight matches are set for Mercedes-Benz Stadium. Officials for the tournament, which runs from June 11 ...
Spotify is getting a new “Prompted Playlist” feature to help users create more personalized playlists based on their entire Spotify listening history. The feature is currently in beta testing and is ...
Instagram has launched a major update for its Edits app. The app’s latest version adds pre-built templates, storyboards, advanced text customization options, and the ability to pull public Reels ...
Spotify is attempting to give users more control over the music the streaming service recommends with a new playlist feature called "Prompted Playlist." The beta feature is rolling out in New Zealand ...
Users can choose which topics to see more or less of in Reels, and soon Instagram’s Explore tab. Users can choose which topics to see more or less of in Reels, and soon Instagram’s Explore tab. is a ...
Threads is testing a new way for users to manipulate their own recommendation algorithm. The feature, aptly called "Dear algo," allows users to post a message to the algorithm with the note "dear algo ...
Instagram is rolling out a new test that lets select users fine-tune what they’d like to see in their Reels and Explore feeds. Here’s what it looks like. Instagram lead Adam Mosseri took to Threads ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
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Why Spotify’s shuffle feature isn’t truly random
In this video, we explore why Spotify's shuffle feature isn't truly random and operates based on an algorithm. We discuss the reasons behind our preferences for non-random shuffle, the results of an ...
Abstract: With the advent of the big data era, we often deal with datasets containing a large number of redundant features, and in this context, dimensionality reduction of data becomes crucial. To ...
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